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DBMS > EsgynDB vs. FileMaker vs. IBM Db2 Event Store vs. Solr vs. TinkerGraph

System Properties Comparison EsgynDB vs. FileMaker vs. IBM Db2 Event Store vs. Solr vs. TinkerGraph

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonFileMaker  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonSolr  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionFileMaker is a cross-platform RDBMS that includes a GUI frontend.Distributed Event Store optimized for Internet of Things use casesA widely used distributed, scalable search engine based on Apache LuceneA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelRelational DBMSRelational DBMSEvent Store
Time Series DBMS
Search engineGraph DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Score0.08
Rank#348  Overall
#35  Graph DBMS
Websitewww.esgyn.cnwww.claris.com/­filemakerwww.ibm.com/­products/­db2-event-storesolr.apache.orgtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationwww.claris.com/­resources/­documentationwww.ibm.com/­docs/­en/­db2-event-storesolr.apache.org/­resources.html
DeveloperEsgynClaris infoa subsidiary of AppleIBMApache Software Foundation
Initial release20151983201720062009
Current release19.4.1, November 20212.09.6.0, April 2024
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree developer edition availableOpen Source infoApache Version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaC and C++JavaJava
Server operating systemsLinuxiOS infoclient part only
Linux
OS X
Windows
Linux infoLinux, macOS, Windows for the developer additionAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesyesyesyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infosupports customizable data types and automatic typingyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.noyes infoA http query request can return the data in XML formatnoyesno
Secondary indexesyesyesnoyes infoAll search fields are automatically indexedno
SQL infoSupport of SQLyesyes infovia pluginsyes infothrough the embedded Spark runtimeSolr Parallel SQL Interfaceno
APIs and other access methodsADO.NET
JDBC
ODBC
Filemaker WebDirect
JDBC
ODBC
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Java API
RESTful HTTP/JSON API
TinkerPop 3
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetPHPC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Groovy
Java
Server-side scripts infoStored proceduresJava Stored ProceduresyesyesJava pluginsno
Triggersnoyesnoyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersSource-replica replication, warm standby infosince Version 14Active-active shard replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistencynone
Foreign keys infoReferential integrityyesyesnonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonooptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyesno
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardsimple rights management via user accounts and connection to external directory servicesfine grained access rights according to SQL-standardyesno

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EsgynDBFileMakerIBM Db2 Event StoreSolrTinkerGraph
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